Evidence map›Paper›PMID 36131129›Full record

ReviewClinical hematology international2022

Antiemetic Strategies in Patients Who Undergo Hematopoietic Stem Cell Transplantation.

Sayako Yuda, Shigeo Fuji, Bipin Savani, Katie S Gatwood

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical hematology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Impact of dexamethasone on transplant-related mortality in pediatric patients: a multi-site, propensity score-weighted, retrospective assessment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Sayako YudaDepartment of Hematology, Osaka International Cancer Institute, 3-1-69, Otemae, Chuo-ku, Osaka-city, Osaka, 5418567, Japan.
Shigeo FujiDepartment of Hematology, Osaka International Cancer Institute, 3-1-69, Otemae, Chuo-ku, Osaka-city, Osaka, 5418567, Japan. fujishige1231@gmail.com.ORCID http://orcid.org/0000-0001-5118-7950
Bipin SavaniStem Cell Transplant and Cellular Therapy, Vanderbilt University Medical Center, Nashville, USA.
Katie S GatwoodStem Cell Transplant and Cellular Therapy, Vanderbilt University Medical Center, Nashville, USA.
Vanderbilt University Medical Center · USOsaka International Cancer Institute · JPOsaka International Cancer Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic stem cell transplantation (HSCT) is an integral part of the treatment strategy in patients with a hematological disorder. Chemotherapy-induced nausea and vomiting (CINV) is still an issue in patients who undergo HSCT. While several guidelines for the antiemetic therapy against CINV have been published, there is no detailed information about appropriate antiemetic drugs for each conditioning regimen in HSCT. Various studies reported that the triplet of 5-HT3RA, NK1RA, and dexamethasone appears useful in HSCT. However, each antiemetic has unique adverse effects or interactions with specific drugs. Here, we review the literature relating to clinical trials on the prevention of CINV, and summarize the information to clarify the benefit of antiemetic regimens.

Indexed as

AntiemeticsHematopoietic cell transplantation

Identifiers

PMID36131129
PMCPMC9492824
OpenAlexW4285044012

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.